Plot the concept counts of a summariseConceptSetCounts output.

Usage

plotConceptSetCounts(result, facet = NULL, colour = NULL)

Arguments

result: A summarised_result object (output of summariseConceptSetCounts).
facet: Columns to face by. Formula format can be provided. See possible columns to face by with: visOmopResults::tidyColumns().
colour: Columns to colour by. See possible columns to colour by with: visOmopResults::tidyColumns().

Value

A ggplot2 object showing the concept counts.

Examples

# \donttest{
library(dplyr)
#> 
#> Attaching package: ‘dplyr’
#> The following objects are masked from ‘package:stats’:
#> 
#>     filter, lag
#> The following objects are masked from ‘package:base’:
#> 
#>     intersect, setdiff, setequal, union

cdm <- mockOmopSketch()

result <- cdm |>
  summariseConceptSetCounts(
    conceptSet= list(
      "Renal agenesis" = 194152,
      "Manic mood" = c(4226696, 4304866, 37110496, 40371897)
    )
  )
#> Warning: ! `codelist` contains numeric values, they are casted to integers.
#> ℹ Searching concepts from domain condition in condition_occurrence.
#> ℹ Counting concepts

result |>
  filter(variable_name == "Number subjects") |>
  plotConceptSetCounts(facet = "codelist_name", colour = "standard_concept_name")


PatientProfiles::mockDisconnect(cdm)
# }